Sentence examples for probabilistic by which from inspiring English sources

Secondly, Hume divides all reasoning into demonstrative, by which he means deductive, and probabilistic, by which he means the generalization of causal reasoning.

In the assessment of OTA presented here, we have chosen to use a probabilistic exposure assessment by which distributions of the consumption of the foods of interest by all age groups for two days of recall were combined with distributions of contaminant levels through Monte Carlo simulation (Petersen 2000; Gibney and van der Voet 2003; Guenther et al. 1997; Hoffmann et al. 2002).

Demonstration of a practical approach is presented by which dynamic probabilistic risk/safety assessment (PRA/PSA) techniques are used to augment the uncertainty quantification process for Generation IV reactors.

Because the evaluation of the probabilistic constraints in a sub-optimization level causes non-convergence behavior for some problems as indicated in the literature, an alternative formulation based on one-level is developed considering the optimality conditions of the β-computation by which the probabilistic constraint appears in the first level reliability-based design optimization formulation.

In addition, we propose a method called shared summation (SHS), by which the probabilistic output of a multi-class group is shared equally by each class.

Unlike many other site-specific models, our model does not require a database of material properties which form obstacles in a scenario as the material properties are replaced by a few probabilistic parameters which are optimised by means of a measurement campaign.

The string emitted in the match state was chosen by another probabilistic process, which models the arrangement of binding sites and non-binding ("background") sites by PWM.

GO term inference is here implemented by a probabilistic model which has some similarity with clustering methods.

Nevertheless, the uncertainty around all estimates was accounted for by the probabilistic analysis, which allowed estimation of the empirical distribution of results and the statistical significance of the differences.

The disruption probabilities of intermodal hubs are estimated by using a probabilistic model which is developed using real world data.

This translation is done by learning a probabilistic model which uses co-occurrence data as a bridge between the source and target feature spaces.